IPseU-CNN: Identifying RNA Pseudouridine Sites Using Convolutional Neural Networks.

ABSTRACT: Pseudouridine is the most prevalent RNA modification and has been found in both eukaryotes and prokaryotes. Currently, pseudouridine has been demonstrated in several kinds of RNAs, such as small nuclear RNA, rRNA, tRNA, mRNA, and small nucleolar RNA. Therefore, its significance to academic research and drug development is understandable. Through biochemical experiments, the pseudouridine site identification has produced good outcomes, but these lab exploratory methods and biochemical processes are expensive and time consuming. Therefore, it is important to introduce efficient methods for identification of pseudouridine sites. In this study, an intelligent method for pseudouridine sites using the deep-learning approach was developed. The proposed prediction model is called iPseU-CNN (identi

SUBMITTER: Tahir M 

PROVIDER: S-EPMC6488737 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature